Articles | Volume 20, issue 5
https://doi.org/10.5194/acp-20-3191-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-3191-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The long-term trend and production sensitivity change in the US ozone pollution from observations and model simulations
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland 20742, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland 20742, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
Chao Sun
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland 20742, USA
Zhining Tao
Universities Space Research Association, Columbia, Maryland 21046, USA
NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Daniel Q. Tong
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland 20742, USA
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
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26 citations as recorded by crossref.
- Changes in Ozone Chemical Sensitivity in the United States from 2007 to 2016 S. Koplitz et al. 10.1021/acsenvironau.1c00029
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- Evaluating the sensitivity of radical chemistry and ozone formation to ambient VOCs and NO<sub><i>x</i></sub> in Beijing L. Whalley et al. 10.5194/acp-21-2125-2021
- Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign S. Ma et al. 10.5194/acp-21-16531-2021
- Long-term trend of ozone in southern China reveals future mitigation strategy for air pollution X. Li et al. 10.1016/j.atmosenv.2021.118869
- Observations and Modeling of NOx Photochemistry and Fate in Fresh Wildfire Plumes Q. Peng et al. 10.1021/acsearthspacechem.1c00086
- Source apportionment of ozone and fine particulate matter in the United States for 2016 and 2028 Y. Hu et al. 10.1016/j.atmosenv.2022.119226
- Biases in air quality models capturing ozone trends at the urban, regional and national scales: Impacts on Relative Response Factors (RRFs) Y. Hu et al. 10.1016/j.atmosenv.2021.118722
- Deep Learning to Evaluate US NOx Emissions Using Surface Ozone Predictions T. He et al. 10.1029/2021JD035597
- Rethinking of the adverse effects of NOx-control on the reduction of methane and tropospheric ozone – Challenges toward a denitrified society H. Akimoto & H. Tanimoto 10.1016/j.atmosenv.2022.119033
- Exploring ozone production sensitivity to NOx and VOCs in the New York City airshed in the spring and summers of 2017–2019 A. Sebol et al. 10.1016/j.atmosenv.2024.120417
- Inferring Changes in Summertime Surface Ozone–NOx–VOC Chemistry over U.S. Urban Areas from Two Decades of Satellite and Ground-Based Observations X. Jin et al. 10.1021/acs.est.9b07785
- Progress in quantitative research on the relationship between atmospheric oxidation and air quality Y. Wang et al. 10.1016/j.jes.2022.06.029
- Peroxy radical chemistry during ozone photochemical pollution season at a suburban site in the boundary of Jiangsu–Anhui–Shandong–Henan region, China N. Wei et al. 10.1016/j.scitotenv.2023.166355
- Investigating Changes in Ozone Formation Chemistry during Summertime Pollution Events over the Northeastern United States M. Tao et al. 10.1021/acs.est.2c02972
- Enhanced summertime background ozone by anthropogenic emissions – Implications on ozone control policy and health risk assessment M. Kang et al. 10.1016/j.atmosenv.2023.120116
- Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1) J. Williams et al. 10.5194/gmd-15-4657-2022
- US Clean Energy Futures—Air Quality Benefits of Zero Carbon Energy Policies P. Vasilakos et al. 10.3390/atmos13091401
- Cluster‐Enhanced Ensemble Learning for Mapping Global Monthly Surface Ozone From 2003 to 2019 X. Liu et al. 10.1029/2022GL097947
- Source-apportionment and spatial distribution analysis of VOCs and their role in ozone formation using machine learning in central-west Taiwan M. Mishra et al. 10.1016/j.envres.2023.116329
- Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States X. Chen et al. 10.1029/2022JD038228
- Global air quality change during the COVID-19 pandemic: Regionally different ozone pollution responses COVID-19 R. Tang et al. 10.1016/j.aosl.2020.100015
- A new classification approach to enhance future VOCs emission policies: Taking solvent-consuming industry as an example X. Zhang et al. 10.1016/j.envpol.2020.115868
- Changes in the Relative Importance of Biogenic Isoprene and Soil NOx Emissions on Ozone Concentrations in Nonattainment Areas of the United States J. Geddes et al. 10.1029/2021JD036361
- Impact of Fire Emissions on U.S. Air Quality from 1997 to 2016–A Modeling Study in the Satellite Era Z. Tao et al. 10.3390/rs12060913
24 citations as recorded by crossref.
- Changes in Ozone Chemical Sensitivity in the United States from 2007 to 2016 S. Koplitz et al. 10.1021/acsenvironau.1c00029
- Chinese Regulations Are Working—Why Is Surface Ozone Over Industrialized Areas Still High? Applying Lessons From Northeast US Air Quality Evolution X. Chen et al. 10.1029/2021GL092816
- Combined effects of air pollution and extreme heat events among ESKD patients within the Northeastern United States R. Remigio et al. 10.1016/j.scitotenv.2021.152481
- Evaluating the sensitivity of radical chemistry and ozone formation to ambient VOCs and NO<sub><i>x</i></sub> in Beijing L. Whalley et al. 10.5194/acp-21-2125-2021
- Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign S. Ma et al. 10.5194/acp-21-16531-2021
- Long-term trend of ozone in southern China reveals future mitigation strategy for air pollution X. Li et al. 10.1016/j.atmosenv.2021.118869
- Observations and Modeling of NOx Photochemistry and Fate in Fresh Wildfire Plumes Q. Peng et al. 10.1021/acsearthspacechem.1c00086
- Source apportionment of ozone and fine particulate matter in the United States for 2016 and 2028 Y. Hu et al. 10.1016/j.atmosenv.2022.119226
- Biases in air quality models capturing ozone trends at the urban, regional and national scales: Impacts on Relative Response Factors (RRFs) Y. Hu et al. 10.1016/j.atmosenv.2021.118722
- Deep Learning to Evaluate US NOx Emissions Using Surface Ozone Predictions T. He et al. 10.1029/2021JD035597
- Rethinking of the adverse effects of NOx-control on the reduction of methane and tropospheric ozone – Challenges toward a denitrified society H. Akimoto & H. Tanimoto 10.1016/j.atmosenv.2022.119033
- Exploring ozone production sensitivity to NOx and VOCs in the New York City airshed in the spring and summers of 2017–2019 A. Sebol et al. 10.1016/j.atmosenv.2024.120417
- Inferring Changes in Summertime Surface Ozone–NOx–VOC Chemistry over U.S. Urban Areas from Two Decades of Satellite and Ground-Based Observations X. Jin et al. 10.1021/acs.est.9b07785
- Progress in quantitative research on the relationship between atmospheric oxidation and air quality Y. Wang et al. 10.1016/j.jes.2022.06.029
- Peroxy radical chemistry during ozone photochemical pollution season at a suburban site in the boundary of Jiangsu–Anhui–Shandong–Henan region, China N. Wei et al. 10.1016/j.scitotenv.2023.166355
- Investigating Changes in Ozone Formation Chemistry during Summertime Pollution Events over the Northeastern United States M. Tao et al. 10.1021/acs.est.2c02972
- Enhanced summertime background ozone by anthropogenic emissions – Implications on ozone control policy and health risk assessment M. Kang et al. 10.1016/j.atmosenv.2023.120116
- Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1) J. Williams et al. 10.5194/gmd-15-4657-2022
- US Clean Energy Futures—Air Quality Benefits of Zero Carbon Energy Policies P. Vasilakos et al. 10.3390/atmos13091401
- Cluster‐Enhanced Ensemble Learning for Mapping Global Monthly Surface Ozone From 2003 to 2019 X. Liu et al. 10.1029/2022GL097947
- Source-apportionment and spatial distribution analysis of VOCs and their role in ozone formation using machine learning in central-west Taiwan M. Mishra et al. 10.1016/j.envres.2023.116329
- Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States X. Chen et al. 10.1029/2022JD038228
- Global air quality change during the COVID-19 pandemic: Regionally different ozone pollution responses COVID-19 R. Tang et al. 10.1016/j.aosl.2020.100015
- A new classification approach to enhance future VOCs emission policies: Taking solvent-consuming industry as an example X. Zhang et al. 10.1016/j.envpol.2020.115868
2 citations as recorded by crossref.
- Changes in the Relative Importance of Biogenic Isoprene and Soil NOx Emissions on Ozone Concentrations in Nonattainment Areas of the United States J. Geddes et al. 10.1029/2021JD036361
- Impact of Fire Emissions on U.S. Air Quality from 1997 to 2016–A Modeling Study in the Satellite Era Z. Tao et al. 10.3390/rs12060913
Latest update: 02 Nov 2024
Short summary
We studied the trend of US ozone pollution from 1990 to 2015 using EPA observations and computer simulations. Observations indicated a decrease in peak ozone at noon due to regulations and a slight increase in ozone in early morning and late afternoon possibly. Our modeling system confirmed these findings and provided detailed information about ozone photochemistry. These results revealed the success of previous control measures and provide scientific evidence for the future regulations.
We studied the trend of US ozone pollution from 1990 to 2015 using EPA observations and computer...
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